Simulation-Optimization in Logistics Transportation and SCM

<p>Transportation logistics and supply chain systems and networks constitute one of the pillars of modern economies and societies. From sustainable traffic management in smart cities or air transportation to green and socially responsible logistics practices many enterprises and governments around the world have to make decisions that affect the efficiency of these complex systems. Typically optimization algorithms are employed to deal with these challenges and simulation approaches are utilized when considering scenarios under uncertainty. However better results might be achieved by hybridizing both optimization algorithms with simulation techniques to deal with real-life transportation logistics and SCM challenges which often are large-scale and NP-hard problems under uncertainty conditions. Hence simheuristic algorithms (combining metaheuristics with simulation) as well as other simulation optimization approaches constitute an effective way to support decision makers in such complex scenarios.</p><p>This reprint presents a collection of selected articles on simulation optimization in transportation logistics and supply chain management. The reprint is strongly connected to the topics covered in the Winter Simulation Conference (WSC) track on logistics transportation and SCM which includes a stream in simheuristic algorithms as well.</p>